OpenML

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(3) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(3) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6913, kappa: 0.3202, kb_relative_information_score: 0.2932, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6914, number_of_instances: 768, precision: 0.6911, predictive_accuracy: 0.6914, prior_entropy: 0.9331, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655, unweighted_recall: 0.66,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 0.3041, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8496, unweighted_recall: 0.7314,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(7) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6895, kappa: 0.3181, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6888, number_of_instances: 768, precision: 0.6902, predictive_accuracy: 0.6888, prior_entropy: 0.9331, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704, unweighted_recall: 0.6597,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(2) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6941, kappa: 0.3271, kb_relative_information_score: 0.2991, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, weighted_recall: 0.694, number_of_instances: 768, precision: 0.6943, predictive_accuracy: 0.694, prior_entropy: 0.9331, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1605, unweighted_recall: 0.6637,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(5) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.697, kappa: 0.334, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6966, number_of_instances: 768, precision: 0.6974, predictive_accuracy: 0.6966, prior_entropy: 0.9331, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556, unweighted_recall: 0.6674,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(6) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6853, kappa: 0.3114, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6836, number_of_instances: 768, precision: 0.6873, predictive_accuracy: 0.6836, prior_entropy: 0.9331, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801, unweighted_recall: 0.6574,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(2) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.7005, kappa: 0.3409, kb_relative_information_score: 0.3141, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7005, number_of_instances: 768, precision: 0.7005, predictive_accuracy: 0.7005, prior_entropy: 0.9331, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.1481, unweighted_recall: 0.6704,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(2) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,

Continuous Integration 2 months ago
ran flow sklearn.pipeline.Pipeline(scal ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6843, kappa: 0.3066, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6836, number_of_instances: 768, precision: 0.685, predictive_accuracy: 0.6836, prior_entropy: 0.9331, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801, unweighted_recall: 0.654,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7501, kappa: 0.4582, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7494, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8493, unweighted_recall: 0.7275,

Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8634, kappa: 0.7275, kb_relative_information_score: 0.6298, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8674, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6148, unweighted_recall: 0.8651,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8634, kappa: 0.7275, kb_relative_information_score: 0.6298, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8674, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6148, unweighted_recall: 0.8651,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8678, kappa: 0.7362, kb_relative_information_score: 0.6179, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8712, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6118, unweighted_recall: 0.8694,

Test Test 2 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.842, kappa: 0.6805, kb_relative_information_score: 0.6791, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4948, weighted_recall: 0.842, number_of_instances: 14980, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9924, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7992, unweighted_recall: 0.8402,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9473, kappa: 0.8849, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.141, weighted_recall: 0.9527, number_of_instances: 296, precision: 0.9539, predictive_accuracy: 0.9527, prior_entropy: 1.309, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4148,

Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(2) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8635, kappa: 0.7269, kb_relative_information_score: 0.5987, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8644, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6328, unweighted_recall: 0.8641,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8811, kappa: 0.762, kb_relative_information_score: 0.6001, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8811, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8811, prior_entropy: 1.0024, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6271, unweighted_recall: 0.8814,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8635, kappa: 0.7269, kb_relative_information_score: 0.5987, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8634, number_of_instances: 227, precision: 0.8644, predictive_accuracy: 0.8634, prior_entropy: 1.0024, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6328, unweighted_recall: 0.8641,

Test Test 2 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(1) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.842, kappa: 0.6806, kb_relative_information_score: 0.6793, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8421, number_of_instances: 14980, precision: 0.842, predictive_accuracy: 0.8421, prior_entropy: 0.9924, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.799, unweighted_recall: 0.8402,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 0.2494, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8372, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.7318, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8609, unweighted_recall: 0.693,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8701, kappa: 0.8651, kb_relative_information_score: 0.6636, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1212, weighted_recall: 0.878, number_of_instances: 500, precision: 0.8808, predictive_accuracy: 0.878, prior_entropy: 3.6489, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.6448, unweighted_recall: 0.7734,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 0.3194, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, unweighted_recall: 0.726,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7776, kappa: 0.5172, kb_relative_information_score: 0.3035, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7787, number_of_instances: 253, precision: 0.7769, predictive_accuracy: 0.7787, prior_entropy: 0.9463, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8446, unweighted_recall: 0.7562,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8231, kappa: 0.4315, kb_relative_information_score: 0.2411, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8627, unweighted_recall: 0.694,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.8837, kappa: 0.8807, kb_relative_information_score: 0.6705, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1212, weighted_recall: 0.892, number_of_instances: 500, precision: 0.8974, predictive_accuracy: 0.892, prior_entropy: 3.6489, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.6362, unweighted_recall: 0.7858,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7739, kappa: 0.4965, kb_relative_information_score: 0.3136, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7773, number_of_instances: 768, precision: 0.7731, predictive_accuracy: 0.7773, prior_entropy: 0.9331, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, unweighted_recall: 0.7416,

Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7421, kappa: 0.441, kb_relative_information_score: 0.3123, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7431, number_of_instances: 253, precision: 0.7414, predictive_accuracy: 0.7431, prior_entropy: 0.9463, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8445, unweighted_recall: 0.7189,

Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8854, kappa: 0.7715, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8903, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6077, unweighted_recall: 0.8874,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8854, kappa: 0.7715, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8855, number_of_instances: 227, precision: 0.8903, predictive_accuracy: 0.8855, prior_entropy: 1.0024, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6077, unweighted_recall: 0.8874,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8678, kappa: 0.7353, kb_relative_information_score: 0.5975, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8678, number_of_instances: 227, precision: 0.8678, predictive_accuracy: 0.8678, prior_entropy: 1.0024, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.642, unweighted_recall: 0.8676,

Test Test 2 months ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8433, kappa: 0.6831, kb_relative_information_score: 0.6819, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8433, number_of_instances: 14980, precision: 0.8432, predictive_accuracy: 0.8433, prior_entropy: 0.9924, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7958, unweighted_recall: 0.8413,

Test Test 2 months ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, kappa: 0.867, kb_relative_information_score: 0.8321, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.141, weighted_recall: 0.9459, number_of_instances: 296, predictive_accuracy: 0.9459, prior_entropy: 1.309, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4051,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 0.241, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8333, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.7318, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8668, unweighted_recall: 0.6871,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8604, kappa: 0.8561, kb_relative_information_score: 0.6486, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1212, weighted_recall: 0.87, number_of_instances: 500, precision: 0.8744, predictive_accuracy: 0.87, prior_entropy: 3.6489, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.6594, unweighted_recall: 0.756,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.769, kappa: 0.4832, kb_relative_information_score: 0.3118, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, unweighted_recall: 0.7318,

Test Test 2 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,

Test Test 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7544, kappa: 0.468, kb_relative_information_score: 0.3103, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.7539, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8481, unweighted_recall: 0.7329,

Jan van Rijn 2 months ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal